Beyond FOAF: Challenges in characterizing social relations

Jan Hauffa, Gottlieb Bossert, Nadja Richter, Florian Wolf, Nora Liesenfeld, Georg Groh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We discuss the results of a study on characterizing interpersonal social relationships in terms of their emotional intensity and valence in the context of several preliminary studies on the representation of social relations and the detection and characterization of individual relationships from online communication. A common aspect of these studies is the conclusion that the in-depth analysis of social relations is a hard problem, which cannot be solved by simple application of methods from the fields of social network analysis, NLP, or machine learning. We attempt to identify the contributing factors to the complexity of the problem, pointing out directions for future research.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011
Pages790-795
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011 - Boston, MA, United States
Duration: 9 Oct 201111 Oct 2011

Publication series

NameProceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011

Conference

Conference2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011
Country/TerritoryUnited States
CityBoston, MA
Period9/10/1111/10/11

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